Abstract
This semester I constructed an activity monitoring arena and determined the appropriate data acquisition settings. Videos are recorded and processed at 30 frames per seconds and a “minimum distance travelled filter” is used to eliminate any motion that does not require the animal to take a step. The filter does capture any movements that do require a step, so we will be able to determine an average degree of activity during the animal’s session of free cage activity.
Document Type
Final Report
Class Name
Mechanical Engineering and Material Sciences Independent Study
Date of Submission
12-19-2018
Recommended Citation
Kivitz, Griffin and Lake, Spencer, "Activity Monitoring System" (2018). Mechanical Engineering and Materials Science Independent Study. 82.
https://openscholarship.wustl.edu/mems500/82